Neural network-based recognition of trade workers present on industrial sites
US10769422B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 19, 2018 |
| Grant date | Sep 8, 2020 |
| Priority date | — |
| Expiry date | May 23, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/245
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method and system for neural network-based recognition of trade workers present on industrial sites is presented. In an embodiment, a method comprises: using a computing device, receiving a plurality of digital images depicting a particular worker; using the computing device, based on the plurality of digital images, determining a plurality of key-point sets of the digital images, each of the plurality of key-point sets comprising location information of key points identified within a depiction of the particular worker in a particular digital image; using the computing device, based on the plurality of key-point sets, determining a plurality of trade-specific activities that appear to be performed by the particular worker; using the computing device, based on the plurality of trade-specific activities, determining a plurality of trade probabilities, each trade probability among the trade probabilities indicating a likelihood that the particular worker belongs to a particular trade from among a plurality of different trades.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.